| Title | Mapping changing temperature patterns over a glacial moraine using oblique thermal imagery and lidar |
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| Author | Hopkinson, C; Barlow, J; Demuth, M; Pomeroy, J |
| Source | Canadian Journal of Remote Sensing vol. 36, suppl. 2, 2010 p. S257-S265, https://doi.org/10.5589/m10-053 |
| Image |  |
| Year | 2010 |
| Alt Series | Earth Sciences Sector, Contribution Series 20090306 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Alberta |
| NTS | 82N/10NE |
| Area | Peyto Glacier; Rocky Mountains; Mistaya River |
| Lat/Long WENS | -116.7500 -116.5000 51.7500 51.5833 |
| Subjects | surficial geology/geomorphology; Nature and Environment; glaciers; moraines; glacial landforms; thermal imagery; temperature; analytical methods |
| Illustrations | sketch maps; photographs |
| Program | Climate Change Geoscience |
| Released | 2014 06 02 |
| Abstract | Due to access difficulties in active alpine moraine environments, it can be challenging to accurately map and quantify debris cover and ice-core extent. To aid in identifying the presence and extent of
ice-cored moraine, a non-invasive method of mapping spatial and temporal moraine temperature patterns using a light detection and ranging (lidar) digital elevation model (DEM) and sequences of oblique thermal imagery was evaluated. A procedure of
lidar DEM-based orthorectification of thermal images collected through time from different locations enabled maps of temperature change to be generated and thermal signatures plotted. Although no exposed ice was visible on the moraine slope studied,
the presence of shallow ice core beneath the debris-covered surface was inferred in areas of cooler temperatures during daylight solar heating and rapid thermal decay after sunset. It is presumed that this apparent increased heat loss in some areas
of the moraine is being used to drive internal melt processes. It is believed that such temporal thermal imaging at high repetition frequency will aid in remotely mapping the presence of buried ice and, with the combination of energy balance data and
further field validation, could enable the estimation of debris cover depth. |
| GEOSCAN ID | 248236 |
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